Hardware Operations Technical Program Manager (AI)

TL;DR

Hardware Operations Technical Program Manager (AI): Driving the execution of AI infrastructure hardware programs from design to production with an accent on supplier coordination, deployment planning, and rack-level integration. Focus on building scalable hardware operations processes, solving complex infrastructure bottlenecks, and ensuring readiness for high-volume AI workloads.

Location: Remote (US) or San Francisco

Salary: $225,000 – $335,000 + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Drive end-to-end hardware operations readiness for AI infrastructure including servers, racks, and networking.
• Develop scalable workflows for deployment, repair operations, diagnostics, and sustaining operations.
• Collaborate with Hardware Engineering, Supply Chain, and Data Center Operations to align on readiness milestones.
• Create operational scorecards and reporting frameworks to measure hardware health and deployment quality.
• Identify and mitigate operational and technical risks across the hardware lifecycle.
• Establish operational governance models, including readiness reviews and escalation management.

Requirements

• 7+ years of experience in TPM, hardware operations, or infrastructure deployment.
• Experience supporting hardware systems at scale (servers, racks, networking).
• Deep understanding of the hardware development lifecycle (NPI, qualification, manufacturing ramp).
• Strong technical fluency in rack integration and infrastructure deployment.
• Must be based in the US (Remote or San Francisco).
• Bachelor’s degree in engineering, computer science, operations, or supply chain.

Nice to have

• Experience with GPU, accelerator, or cluster-scale infrastructure.
• Familiarity with power/cooling constraints and networking cabling.
• Experience scaling programs from prototype (NPI) to repeatable production.

Culture & Benefits

• Competitive compensation including equity offers.
• Opportunity to build physical infrastructure for the largest-scale AI systems.
• Work within a fast-paced, frontier AI research environment.
• Commitment to equal opportunity and diversity.